A Python Code for the Emmanoulopoulos et al. [arXiv:1305.0304] Light Curve Simulation Algorithm

TL;DR

This paper introduces a Python implementation of the Emmanoulopoulos et al. 2013 light curve simulation algorithm, enabling users to generate synthetic light curves that match observed variability and statistical properties.

Contribution

The author provides a publicly available Python code for simulating light curves with specified spectral and statistical characteristics, based on the Emmanoulopoulos et al. algorithm.

Findings

Code accurately reproduces variability of observed light curves

Simulation matches specified power spectral density and probability distribution

Tool is accessible for researchers to generate realistic synthetic light curves

Abstract

I have created, for public use, a Python code allowing the simulation of light curves with any given power spectral density and any probability density function, following the algorithm described in Emmanoulopoulos et al. 2013. The simulated products have exactly the same variability and statistical properties as the observed light curves. The code and its documentation are available at: https://github.com/samconnolly/DELightcurveSimulation Note that a Mathematica code of the algorithm is given in Emmanoulopoulos et al. [arXiv:1305.0304]